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第十五届国际汽车工业 X.0 峰会|2026 年 12 月 8–9 日|中国上海
一套 AI
视觉系统在试点工位跑通后，换了车型、换了产线，能否保持检测效果?人形机器人进入汽车工厂，哪些工位值得先试?当生产基地走向海外，设备、工艺和供应链又该如何跟上?
由 BIMI-AUTO 主办的第十五届国际汽车工业 X.0 峰会将于 12 月在上海举行。本届峰会以智驭新质 · 绿创未来 为主题，预计汇聚 300余位行业管理者与技术专家。约 68% 的参会者来自汽车主机厂及 Tier 1 供应商。
从一个工位到一条产线，AI 如何走向量产?
北汽新能源将以享界超级工厂为例，分享 AI
驱动高端汽车智能制造的探索。福特汽车将从工业视觉切入，讨论质量检测如何从单点试验走向规模化部署。两场分享分别从整厂与工位出发，呈现 AI
进入汽车制造现场的不同路径。
在具身智能方面，上汽通用动力科技有限公司将分享人形机器人在汽车制造场景中的应用研究。柳州赛克科技发展有限公司将介绍新能源汽车零部件的智能岛制造体系，探讨柔性生产单元如何适应多品种生产需求。
从厂内物流到海外制造，供应链如何跟上?
华晨宝马将梳理 AI 在汽车物流与供应链中的应用进展。理想汽车将分享产前智能立体库案例，介绍自动化仓储如何衔接生产计划和厂内配送。
汽车出海也是本届峰会的重点。EVOLVE Consulting Group 将以中东为例，探讨中国企业如何从贸易和组装走向本地制造，并建立当地零部件配套。AutoForm 将围绕数字化实践，讨论如何缩短工程周期，让成熟做法在不同工厂和市场复用。
哪些企业将参与交流?
根据本届议程，北京奔驰汽车有限公司、江汽集团、岚图汽车科技有限公司、吉利 ME
中心、比亚迪和长安汽车，小米汽车，长城汽车，大众等等也将参与峰会交流，涉及工厂规划、数字化管理、质量管理和整车智能制造。
首日圆桌将围绕智能汽车时代的工艺变革与协同升级展开，讨论新车型导入带来的工艺变化、柔性改造的投资回报，以及整车与零部件企业如何共同保障量产质量。
带着实际项目和案例来上海
欢迎设备商、系统集成商及技术解决方案企业带着已在汽车工厂落地的案例来上海，与制造、工艺、质量、物流及采购团队聊聊实际项目。方案怎样接入现有设备、改造需要多长的停线窗口、从部署到投产要多久、量产后按什么指标验收，这些细节能帮助双方判断方案是否适合现场需求。
供应商参会及展位合作现已开放咨询。
峰会另设 20 个免费参会席位，仅面向有项目或采购需求的汽车主机厂代表。申请须经主办方审核通过。
Explore How AI Is Reshaping Automotive Manufacturing
15th International Automotive Industry X.0 Summit
8–9 December 2026 · Shanghai, China
An AI vision system works at one inspection station. Will it hold up after
a model changeover or on another line? Which tasks are worth testing with
humanoid robots? And when manufacturers start producing overseas, which
processes can they replicate and which supplies and services will they need to
source locally?
Organised by BIMI-AUTO, the summit is expected to bring together more than
300 industry executives and technical specialists. At previous editions,
approximately 68% of attendees represented automotive OEMs and Tier 1
suppliers.
From a single workstation to series production
BAIC New Energy will share what the STELATO Super Factory has learned about
applying AI to premium vehicle manufacturing. Ford Motor Company will discuss
how industrial vision can move from a single quality inspection application to
deployment at scale.
SAIC General Motors Propulsion System Technology will present research on
humanoid robots in automotive manufacturing. Liuzhou SEIKE Technology Development will introduce its Intelligent Island Manufacturing System and
discuss how flexible production cells can accommodate a wider mix of new energy
vehicle components.
From plant logistics to overseas production
BMW Brilliance Automotive will discuss where AI is being applied in
automotive logistics and supply chains today. Li Auto will present a case study
on how automated storage and retrieval supports vehicle production.
EVOLVE Consulting Group will examine how Chinese companies are moving from
trade and assembly towards local manufacturing and component sourcing in the
Middle East. AutoForm will discuss how digital engineering practices can shorten
lead times and scale across plants and markets.
Companies in the programme
The programme also features Beijing Benz Automotive, JAC Group, Voyah,
Geely Auto ME Center, BYD and Changan Automobile, Xiaomi Auto，GWM, VM with
perspectives spanning plant planning, digitalisation, quality and vehicle
manufacturing.
The Day 1 panel will discuss how new models affect production processes,
how manufacturers assess the return on flexible upgrades, and how OEMs and
component suppliers work together to maintain quality in series production.
Bring a project or a case study to Shanghai
Equipment manufacturers, system integrators and technology providers are
welcome to bring a case from an automotive plant. Discuss how the solution
connected to existing equipment, how much downtime installation required, how
long it took to go live and how the customer verified its performance in
production.
Supplier registration and exhibition enquiries are open.
Twenty complimentary passes are available exclusively to automotive OEM
representatives with project or purchasing requirements, subject to organiser
approval.
完整议程、参会及展位合作|Agenda, registration and exhibition enquiries
BIMI-AUTO | Lisa Tong
电话 · Tel +86 21-59885908 Ext. 882
邮箱 · Email Lisa.t@bimi-auto.com
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